THE ROBUSTNESS OF THE STUDENT t TEST WHEN SAMPLING FROM A WEIBULL DISTRIBUTION.

Abstract

When testing with the t-test, it is assumed that the sample under investigation is from a normal population. The purpose of this thesis is to examine the sensitivity of the t-test to violations of this normality assumption. A computer simulation was performed to draw sets of 10,000 samples from an infinite Weibull population. A t-test was performed on each sample to test the null hypothesis H sub 0: mu = or < mu sub 0 where mu sub 0 was the true mean of the Weibull population. The number of times that H sub 0 was rejected was recorded for all combinations of eight levels of significance, samples ranging in size from 2 to 31, and for values of the parameters of the distribution lambda = 1,2,3 and beta = 1,2,3. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1970
Accession Number
AD0713074

Entities

People

  • David P. Allen

Organizations

  • Naval Postgraduate School

Tags

DTIC Thesaurus Topics

  • Computational Science
  • Computer Simulations
  • Computers
  • Computing-Related Activities
  • Data Science
  • Information Science
  • Mathematical Analysis
  • Normality
  • Sampling
  • Sensitivity
  • Simulations
  • Simulators

Readers

  • Analytical Mechanics
  • Statistical inference.